Deep Learning and Statistical Physics
25 June - 7 July 2018
Co-organisers: C. Cammarota and M. Tarzia

G. Ben Arous: Complexity of random landscapes
L. Bottou: Training Deep Networks with Stochastic Gradient Algorithms
J. Kurchan: Rugged phase-spaces and the dynamics within them
S. Mallat: Learning Physics with Multiscale Deep Neural Networks
M. Mézard: Statistical physics of inference
H. Sompolinsky: Statistical Mechanics of Deep Neural Networks
Seminars: F. Krzakala and R. Zecchina

Director: G. Biroli